Sparse recovery from inaccurate saturated measurements

DOI10.1007/s10440-018-0173-2zbMath1403.94028OpenAlexW2789622429MaRDI QIDQ1630561

Simon Foucart, Jiangyuan Li

Publication date: 10 December 2018

Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10440-018-0173-2

zbMATH Keywords

convex programmingsaturationcompressive sensing

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Linear programming (90C05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations

Uses Software

• CVX

Cites Work

• Unnamed Item
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• Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
• Sparse recovery from saturated measurements
• Flavors of Compressive Sensing
• Compressed sensing

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